Abstract The effects of cis-regulatory alterations in prostate cancer (PCa) are insufficiently characterized, presenting an opportunity to discover driver genes and therapeutic targets. To comprehensively study these effects, we identify genes undergoing allele-specific expression (ASE) in localized PCa and metastatic castration-resistant PCa (mCRPC) samples. By defining recurrent ASE events across prostate tissue and tumor-enriched ASE, we develop CASEDI, a computational framework for prioritizing cancer drivers by integrating ASE and clinical data. CASEDI reveals genes showing recurrent ASE and altered expression in PCa, including AR-regulated and oncogenic ACSM1. mCRPC samples show enrichment of ASE in DNA repair, resistance pathways, and oncogenes and increased frequency of monoallelic expression (MAE) compared to localized tumors. We define an mCRPC gene signature based on MAE status that identifies a subgroup of localized patients with worse prognosis. Using ASE analysis, we expand the landscape of cis-regulatory events in PCa to inform the identification of additional therapeutic targets. Implications: This study develops a framework for identifying cancer drivers using prostate cancer allele-specific expression (ASE) data, generates a comprehensive dataset of ASE in prostate cancer and highlights candidate targets in tumorigenesis and metastasis.
Tsui et al. (Fri,) studied this question.